Milk is a machine learning toolkit in Python. It's focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature selection. These classifiers can be combined in many ways to form different classification systems.
For unsupervised learning, milk supports k-means clustering and affinity propagation. New in Version 0.3.4: * Random forest learners were added. * Decision trees were sped up by 20 times. * Gridsearch is much faster since it finds an optimum without computing all folds. Homepage: http://luispedro.org/software/milk API Docs: http://packages.python.org/milk/ Github: http://github.com/luispedro/milk Freshmeat: http://freshmeat.net/projects/milk -- Luis Pedro Coelho http://luispedro.org -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
